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Join us for an engaging session on AI Agents and Tools in AWS, where we’ll explore how to build intelligent, autonomous systems using Amazon Bedrock and open-source frameworks. Learn about function calling, ReAct patterns, and AWS’s comprehensive agent platforms. We’ll dive into practical demonstrations using Strands and CrewAI, and discover how to leverage protocols like MCP and A2A for seamless tool integration and agent collaboration.

Operations managers’ primary goals are to ensure safety and minimize downtime, and no one wants to waste time digging through manuals or trying to come up with a solution while equipment sits idle. Quick offers all the tools you need to achieve operational excellence.

Using Amazon Web Services (AWS) and generative artificial intelligence (AI), Just Eat Takeaway.com (JET) increases productivity and helps deliver a better experience to customers, partners, and employees. With Amazon Q, JET software engineers build faster and create greater value for the business. And using AWS infrastructure, says Mert Öztekin, the company’s chief technology officer, JET can support rapid growth by scaling fast globally.

Amazon Bedrock Managed Agents, powered by OpenAI, is now in limited preview. Building production-grade AI agents and applications require more than intelligence. It requires enterprise infrastructure, security, and the operational foundation to run reliably at scale, plus memory that persists across sessions, skills that encode procedures, identity that enforces the right permissions, and compute options appropriate for the task.

Discover how AI-powered development is transforming software engineering. In this episode, we demonstrate Kiro—an AI development platform that builds production-ready applications through natural language conversation. Watch as we showcase AWS Cert Tracker, a complete full-stack web application with React frontend, Node.js backend, MongoDB database, and AWS infrastructure—all created through conversational AI.

Amazon Nova foundation models deliver frontier intelligence and leading price-performance. In this video, Eric Avery, Sr. Director of IT and Architecture at Sumo Logic, shares how the team integrated Amazon Nova Lite into its Mo Copilot AI-guided assistant to power real-time troubleshooting and incident response. With Nova Lite, Sumo Logic achieved a 24% cost reduction while maintaining or improving performance, delivering results with 95% accuracy.

Join host Brittany Wolfrom and guests Ana Echeverri and Mary Snell from AWS as they break down the AI Maturity Accelerator (AIM) — a comprehensive mechanism designed to help customer leadership assess and advance their organization's AI capabilities, from technical readiness to enterprise-wide strategy.

Today we'll demonstrate how to control access for remote connections, check in with our friends at NVIDIA, and review the latest news in the cloud!

Siemens Mobility helps its transport and mobility customers deliver innovative travel services. Using Amazon Web Services (AWS) global cloud infrastructure, it can operate wherever users are located, meet local compliance laws such as the General Data Protection Regulation (GDPR), and process hundreds of millions of travel requests daily. Here, AI Manager Henrik Koberg talks about the benefits of using AWS, including being able to run more efficiently by reserving resources in advance.

Amazon SageMaker HyperPod helps build, train and deploy AI models at scale. You can spin-up preferred IDE on HyperPod to develop their models and run experiments, then scale to thousands of accelerators to run distributed training and finally deploy models for real-time or batch inference. With HyperPod task governance capabilities, you can optimize the utilization of the cluster resources.

As your organization harnesses AI to advance its mission, a security-first mindset isn’t optional—it’s essential. We’ve seen the risks of rushing into innovation—think back to the early days of the internet, cloud, and mobile devices. Today, AI presents fresh challenges—and fresh vulnerabilities—that demand rigorous protection from day one. That’s where HiddenLayer and AWS and Amazon Bedrock come in: We’ll expose the emerging AI threats your team will face.

Explore how organizations can transform mission-critical operations using generative AI through the lens of the UK Met Office's journey. This session provides an in-depth look at a dual-model approach using Large Language Models (LLMs) and Vision Language Models (VLMs), achieving 62% and 52% accuracy respectively.